4.6 Article

Integrated condition-based maintenance modelling and optimisation for offshore wind turbines

Journal

WIND ENERGY
Volume 24, Issue 11, Pages 1180-1198

Publisher

WILEY
DOI: 10.1002/we.2625

Keywords

condition‐ based maintenance; cost optimisation; expected energy not supplied; maintenance downtime; O& M simulation; offshore wind turbines; time‐ based preventive maintenance

Funding

  1. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/P009743/1]
  2. EPSRC [EP/P009743/1] Funding Source: UKRI

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This paper models various maintenance activities and their impacts on offshore wind turbine components, proposing an integrated maintenance strategy that reduces costs, improves energy generation, and balances the trade-off between condition-based maintenance and other activities. Simulation results demonstrate the effectiveness of the proposed strategy in optimizing maintenance for offshore wind turbines.
Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition-based maintenance has attracted much attention in the offshore wind industry in recent years. This paper models various maintenance activities and their impacts on the degradation and performance of offshore wind turbine components. An integrated maintenance strategy of corrective maintenance, imperfect time-based preventive maintenance and condition-based maintenance is proposed and compared with other traditional maintenance strategies. A maintenance simulation programme is developed to simulate the degradation and maintenance of offshore wind turbines and estimate their performance. A case study on a 10-MW offshore wind turbine (OWT) is presented to analyse the performance of different maintenance strategies. The simulation results reveal that the proposed strategy not only reduces the total maintenance cost but also improves the energy generation by reducing the total downtime and expected energy not supplied. Furthermore, the proposed maintenance strategy is optimised to find the best degradation threshold and balance the trade-off between the use of condition-based maintenance and other maintenance activities.

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